Dekang Lin
- Artificial Intelligence top 0.05%
- Information Systems top 0.5%
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 2%
- Co-authors
- Patrick PantelShane BergsmaColin CherryWu XiaoyunRandy GoebelMarius PaşcaShaojun ZhaoAlpa Jain
- Topics
- Natural Language Processing Techniques (64 papers)Topic Modeling (52 papers)Speech and dialogue systems (17 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Dekang Lin
73 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 6.6k
- Information Systems 1.4k
- Molecular Biology 1.2k
- Computer Vision and Pattern Recognition 489
- Computational Theory and Mathematics 301
Countries citing papers authored by Dekang Lin
This map shows the geographic impact of Dekang Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dekang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dekang Lin more than expected).
Fields of papers citing papers by Dekang Lin
This network shows the impact of papers produced by Dekang Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dekang Lin. The network helps show where Dekang Lin may publish in the future.
Co-authorship network of co-authors of Dekang Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Dekang Lin. A scholar is included among the top collaborators of Dekang Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dekang Lin. Dekang Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Improved Natural Language Learning via Variance-Regularization Support Vector Machines | 6 |
| 2 | Creating Robust Supervised Classifiers via Web-Scale N-Gram Data | 25 |
| 3 | Gender and Animacy Knowledge Discovery from Web-Scale N-Grams for Unsupervised Person Mention Detection | 31 |
| 4 | Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing | 1 |
| 5 | Web-scale N-gram models for lexical disambiguation | 61 |
| 6 | Semi-Supervised Convex Training for Dependency Parsing | 17 |
| 7 | Mining Parenthetical Translations from the Web by Word Alignment | 25 |
| 8 | Distributional Identification of Non-Referential Pronouns | 23 |
| 9 | Simple training of dependency parsers via structured boosting | 19 |
| 10 | A Comparison of Syntactically Motivated Word Alignment Spaces | 8 |
| 11 | A Probabilistic Answer Type Model | 21 |
| 12 | Identifying synonyms among distributionally similar words | 117 |
| 13 | Word-for-word glossing with contextually similar words | 9 |
| 14 | Review of WordNet: an electronic lexical database by Christiane Fellbaum. The MIT Press 1998. | 16 |
| 15 | SpamCop: A Spam Classification & Organisation Program | 50 |
| 16 | An Information-Theoretic Definition of Similaritybreakdown → | 2415 |
| 17 | Efficient parsing for Korean and English: a parameterized message-passing approach | 5 |
| 18 | A Parameter-Based Message-Passing Parser for MT of Korean and English. | 2 |
| 19 | Obvious abduction | 4 |
| 20 | A message passing algorithm for plan recognition | 9 |
About Dekang Lin
Dekang Lin is a scholar working on Artificial Intelligence, Language and Linguistics and Information Systems, having authored 74 papers that have together received 7.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (64 papers), Topic Modeling (52 papers) and Speech and dialogue systems (17 papers). The work is most often cited by research in Artificial Intelligence (6.6k citations), Information Systems (1.4k citations) and Signal Processing (273 citations). Dekang Lin has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Patrick Pantel, Shane Bergsma, Colin Cherry, Wu Xiaoyun, Randy Goebel, Marius Paşca, Shaojun Zhao, Alpa Jain, Jeffrey P. Bigham and Robert West. Their work appears in journals such as Computational Linguistics, Lecture notes in computer science and Information Processing Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.